Advances in Materials and Pavement Performance Prediction contains the papers presented at the International Conference on Advances in Materials and Pavement Performance Prediction (AM3P, Doha, Qatar, 16- 18 April 2018). There has been an increasing emphasis internationally in the design and construction of sustainable pavement systems. Advances in Materials and Pavement Prediction reflects this development highlighting various approaches to predict pavement performance. The contributions discuss links and interactions between material characterization methods, empirical predictions, mechanistic modeling, and statistically-sound calibration and validation methods. There is also emphasis on comparisons between modeling results and observed performance. The topics of the book include (but are not limited to): * Experimental laboratory material characterization * Field measurements and in situ material characterization * Constitutive modeling and simulation * Innovative pavement materials and interface systems * Non-destructive measurement techniques * Surface characterization, tire-surface interaction, pavement noise * Pavement rehabilitation * Case studies Advances in Materials and Pavement Performance Prediction will be of interest to academics and engineers involved in pavement engineering.

This book aims to be a complete guide to diagnose, manage and treat rare lung diseases encountered by practising pulmonologists and trainees. It extensively covers the "more common" of the rare lung diseases, categorising them based on developmental lung anomalies in adults, airway disorders, diffuse parenchymal lung diseases, neoplasms, rare vascular disorders and other miscellaneous conditions. This comprehensive review facilitates the study and understanding of this complex and diverse set of disorders, focussing on differential diagnosis, evidence-based discussions of management algorithms, and thoughtful analysis of treatment options. Key Features: 1. Reviews multiple rare lung diseases, including ones acquired congenitally to be expressed in old age. 2. Enriched with case studies and illustrations, guides the respiratory physicians and trainees to devise an effective treatment plan. 3. Focuses on concerned investigations, with a section on role of new procedures in the management.

This book aims to be a complete guide to diagnose, manage and treat rare lung diseases encountered by practising pulmonologists and trainees. It extensively covers the "more common" of the rare lung diseases, categorising them based on developmental lung anomalies in adults, airway disorders, diffuse parenchymal lung diseases, neoplasms, rare vascular disorders and other miscellaneous conditions. This comprehensive review facilitates the study and understanding of this complex and diverse set of disorders, focussing on differential diagnosis, evidence-based discussions of management algorithms, and thoughtful analysis of treatment options. Key Features: 1. Reviews multiple rare lung diseases, including ones acquired congenitally to be expressed in old age. 2. Enriched with case studies and illustrations, guides the respiratory physicians and trainees to devise an effective treatment plan. 3. Focuses on concerned investigations, with a section on role of new procedures in the management.

This research work is mainly focused on suspending the steel ball without any mechanical support in desired position and how the Magnetic Levitation System works in presence of disturbance with help of an efficient controller.The tracking performance and robustness is also checked for this system. For tracking, two type of reference trajectory are modelled. One is sine wave and other is a set of constant point varying at different levels. Lastly for robust performance, disturbance is applied in MLS.For this task we have designed Interval Type-2 Fuzzy Logic Controller (IT2FLC), Interval Type-2 Single Input Fuzzy Logic Controller (IT2SIFLC), Interval Type-2 Fuzzy Sliding Mode Controller (IT2FSMC) based on theory of type-2 fuzzy logic systems. Uncertainty is an inherent part of intelligent systems used in real world applications. Conventional controllers can not fully handle the uncertainties present in real-time systems. Type-2 fuzzy sets that are used in type-2 fuzzy systems can handle such uncertainties in a better way because they provide us an extra degree of freedom. At last The designed controller's performance is compared with the feedback linearization control.